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Predictors of death in chronic Chagas cardiomyopathy patients with pacemaker
Giselle de Lima Peixoto1, Martino Martinelli Filho1, Sérgio Freitas de Siqueira1
1Heart Institute (InCor), University of São Paulo Medical School, Brazil.
Insights
Chronic Chagas cardiomyopathy patients with pacemakers face a high annual mortality rate. Advanced heart failure, renal disease, and specific ECG/echocardiogram findings predict poor prognosis in these patients.
Area of Science:
- Cardiology
- Infectious Diseases
- Epidemiology
Background:
- Chronic Chagas cardiomyopathy (CCC) is a severe manifestation of Chagas disease, often presenting with conduction abnormalities and bradycardia.
- Pacemakers are frequently required for bradycardia management in CCC patients.
- Understanding mortality rates and predictors in this population is crucial for prognosis.
Purpose of the Study:
- To determine the annual mortality rate in CCC patients who have pacemakers.
- To identify independent predictors of death in this cohort.
Main Methods:
- A single-center prospective cohort study included 396 CCC patients with pacemakers.
- Patients were followed for at least 24 months, undergoing clinical, device, electrocardiographic, and echocardiographic assessments.
- Multivariate logistic regression was used to identify predictors of death.
Main Results:
- The annual mortality rate was 8.6% (65 deaths in 16.4% of patients over a median follow-up of 1.9 years).
- Sudden death (33.8%) and heart failure (32.3%) were the leading causes of mortality.
- Independent predictors of death included advanced heart failure functional class, renal disease, QRS duration ≥150ms, left atrial enlargement, and left ventricular ejection fraction ≤43%.
Conclusions:
- CCC patients with pacemakers exhibit a high annual mortality rate.
- Pacemaker-related variables were not found to be predictors of death.
- Identifying independent predictors aids in stratifying risk and managing patients with poor prognosis.
Background:
Chronic Chagas cardiomyopathy (CCC) is the most serious and frequent manifestation of Chagas disease. Conduction abnormalities and bradycardia requiring pacemaker are common. The aim of this study was to determine the rate and predictors of death in CCC patients with pacemaker.
Methods:
In this single-center prospective cohort study we assessed the outcome of 396 CCC patients with pacemaker, followed-up for at least 24months. All patients underwent a clinical and device assessment, 12-lead electrocardiography and echocardiography.
Results:
During the median follow-up of 1.9years (Interquartile range 1.6-2.4), there were 65 (16.4%) deaths, yielding an annual mortality rate of 8.6%. The major cause was sudden death (33.8%), followed by heart failure (HF), 32.3%. All the investigated variables were examined as potential predictors of death. The final multivariate logistic regression model included five independent variables: advanced HF functional class (OR [odds ratio] 6.71; 95% confidence interval [95% CI] 1.95-23.2; P=0.003), renal disease (OR 5.71; 95% CI 1.80-18.0; P=0.003), QRS ≥150ms (OR 2.80; 95% CI 1.08-7.27; P=0.034), left atrial enlargement (OR 2.75; 95% CI 1.09-6.95; P=0.032) and left ventricular ejection fraction ≤43% (OR 2.31; 95% CI 1.07-4.97; P=0.032). The model had good discrimination, confirmed by bootstrap validation (optimism-adjusted c-statistic of 0.78) and the calibration curve showed a proper calibration (slope=0.972).
Conclusions:
CCC patients with pacemaker have a high annual mortality rate despite that the pacemaker related variables were not predictors of death. The independent predictors of death can help us to identify the poor prognosis patients.
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